• Asian Pacific Journal of Cancer Prevention
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• 제15권16호
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• pp.6781-6785
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• 2014

Purpose: This study used receiver operating characteristic curves to analyze Surveillance, Epidemiology and End Results (SEER) medulloblastoma (MB) and primitive neuroectodermal tumor (PNET) outcome data. The aim of this study was to identify and optimize predictive outcome models. Materials and Methods: Patients diagnosed from 1973 to 2009 were selected for analysis of socio-economic, staging and treatment factors available in the SEER database for MB and PNET. For the risk modeling, each factor was fitted by a generalized linear model to predict the outcome (brain cancer specific death, yes/no). The area under the receiver operating characteristic curve (ROC) was computed. Similar strata were combined to construct the most parsimonious models. A Monte Carlo algorithm was used to estimate the modeling errors. Results: There were 3,702 patients included in this study. The mean follow up time (S.D.) was 73.7 (86.2) months. Some 40% of the patients were female and the mean (S.D.) age was 16.5 (16.6) years. There were more adult MB/PNET patients listed from SEER data than pediatric and young adult patients. Only 12% of patients were staged. The SEER staging has the highest ROC (S.D.) area of 0.55 (0.05) among the factors tested. We simplified the 3-layered risk levels (local, regional, distant) to a simpler non-metastatic (I and II) versus metastatic (III) model. The ROC area (S.D.) of the 2-tiered model was 0.57 (0.04). Conclusions: ROC analysis optimized the most predictive SEER staging model. The high under staging rate may have prevented patients from selecting definitive radiotherapy after surgery.

• Korean Chemical Engineering Research
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• 제55권4호
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• pp.548-555
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• 2017

본 연구는 560 MWe급 접선연소식 미분탄 보일러에서 공기단계연소에 의한 연소 및 NOx 배출 특성과 슬래깅성에 대하여 분석한 것이다. 이를 위해 고급 석탄 연소 모델이 적용된 전산유체역학(CFD) 시뮬레이션을 이용하여 전체 연소공기의 당량비(SR)는 1.2로 고정하고, 버너 영역의 SR을 0.94에서 0.995까지 변화시켰다. 공기 배분의 변화에 따라 버너 영역 및 열교환기의 온도 및 전열량 분포가 변하지만 보일러의 전체 효율은 거의 동일하게 나타났다. 버너 영역의 SR이 0.94로 낮아지면 Fuel NO의 생성이 억제되어 절탄기 출구 NOx 배출량은 20% 감소하나, 미연분과 슬래깅성에는 큰 영향이 나타나지 않았다. 따라서, 이 보일러에서 NOx 배출 저감을 위해 공기배분을 조절하여 버너 영역의 SR를 낮추고 상부연소공기(OFA)의 값을 높여 운전하는 것이 타당함을 확인하였다.

• Journal of Yeungnam Medical Science
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• 제19권2호
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• pp.116-125
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• 2002

자궁내막암 환자의 예후와 치료의 측면에서 수술 전 병기 설정은 매우 중요하다. 본 연구는 자궁내막암의 수술 전 병기 설정에 있어서 자기공명영상의 유용성을 평가하기 위하여 수술 1-2주 전에 자기공명영상을 시행한 28 예를 대상으로 하였다. 자궁 내의 침범은 자궁내막에 국한된 경우, 표재성 자궁근층 침범, 심부성 자궁근층 침범의 세 경우로 나누었으며, 그 외 자궁경부 침범, 양측 부속기 침범, 골반강내 침범 및 림프절 병증를 평가하였다. 저 병기의 자궁내막암에서 근층의 침범 여부와 정도를 평가하는데 있어서 4 예에서 과소, 1 예에서 과대 병기 설정이 되었다. 28 예중 22 예에서 조직학적 소견과 일치된 병기 설정을 해서 정확도는 78.6%였다. 수술 전 자기공명영상을 통한 병기 설정은 수술 후의 예후를 예측할 수 있으며, 근층 침범, 자궁경부, 양측 부속기, 골반강 및 림프절 침범 등을 동시에 평가를 할 수 있는 유용한 방법으로 판단되었다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권8호
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• pp.525-533
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• 2009

그리드 환경에서 작업에 필요한 파일은 스테이징 기법에 의해서 전송된다. 이때 요구되는 파일이 대용량일 경우 전송에 걸리는 시간이 늘어나 작업의 시작 시간을 지연시키게 되다. 또한, 이는 작업의 전체 실행 시간을 증가시키는 요인이 되어서 작업처리량을 감소시키는 결과를 가져오게 된다. 따라서 이러한 파일 전송 시간 때문에 생기는 오버헤드를 줄인다면 그리드에서 실행되는 작업의 효율을 상당히 향상 시킬 수 있다. 이러한 사실에 근거하여 본 논문에서는 그리드에서 효율적인 작업 처리를 위한 파일 프로비저닝 기법으로서 다음과 같은 두 가지 방법을 제안한다. 첫째, RA-RFT라는 방법을 제안한다. RA-RFT는 Globus Toolkit에서 파일 전송을 담당하는 RFT가 리플리카를 관리하는 RLS의 정보를 이용할 수 있도록 RFT를 확장한 것이다. RA-RFT는 파일 전송 시 가용한 리플리카들로부터 파일을 분할 전송함으로써 대용량 파일 전송 시간을 단축시킬 수 있다. 둘째 리모트 링크라는 방법을 제안한다. 리모트 링크는 파일을 계산 노드로 직접 전송하지 않고 계산 노드에서 파일에 원격 접근할 수 있는 방법을 제공한다. 원격 접근 방법을 이용함으로써 계산 노드의 저장 공간을 절약할 수 있고 선반입을 통해서 효율적인 파일 프로비저닝을 가능하게 한다. 우리는 이러한 두 가지 방법이 기존 그리드 환경에서 사용하고 있는 스테이징 방식보다 우월한 성능을 보여준다는 것을 다양한 실험을 통해서 증명한다.

• 대한병리학회지
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• 제52권6호
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• pp.386-395
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• 2018

Background: Previous studies on synchronous colorectal carcinoma (SCRC) have reported inconsistent results about its clinicopathologic and molecular features and prognostic significance. Methods: Forty-six patients with multiple advanced tumors (T2 or higher category) who did not receive neoadjuvant chemotherapy and/or radiotherapy and who are not associated with familial adenomatous polyposis were selected and 99 tumors from them were subjected to clinicopathologic and molecular analysis. Ninety-two cases of solitary colorectal carcinoma (CRC) were selected as a control considering the distributions of types of surgeries performed on patients with SCRC and T categories of individual tumors from SCRC. Results: SCRC with multiple advanced tumors was significantly associated with more frequent nodal metastasis (p=.003) and distant metastasis (p=.001) than solitary CRC. KRAS mutation, microsatellite instability, and CpG island methylator phenotype statuses were not different between SCRC and solitary CRC groups. In univariate survival analysis, overall and recurrence-free survival were significantly lower in patients with SCRC than in patients with solitary CRC, even after adjusting for the extensiveness of surgical procedure, adjuvant chemotherapy, or staging. Multivariate Cox regression analysis revealed that tumor multiplicity was an independent prognostic factor for overall survival (hazard ratio, 4.618; 95% confidence interval, 2.126 to 10.030; p<.001), but not for recurrence-free survival (p=.151). Conclusions: Findings suggested that multiplicity of advanced T category-tumors might be associated with an increased risk of nodal metastasis and a risk factor for poor survival, which raises a concern about the guideline of American Joint Committee on Cancer's tumor-node-metastasis staging that T staging of an index tumor determines T staging of SCRC.

• 대한응급의학회지
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• 제29권5호
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• pp.391-398
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• 2018

Objective: This study was conducted to analyze and compare the classifications of a prehospital triage system and an in-hospital triage system. Methods: The records of patients transferred from the '119' emergency service for 5 months (from January 1 to May 31, 2016) were collected and records of first aid activities were assessed. We examined cases classified as four (urgent, semi-urgent, potentially urgent, and non-urgent) of five stages, excluding death. In the hospital, data were collected from medical records and classifications made using the five Korean Triage and Acuity Scale (KTAS) stages (1, resuscitation; 2, emergency; 3, urgent; 4, less urgent; and 5, non-urgent) were analyzed. Results: The number of patients enrolled in the study was 3,457. Of them, 2,301 were discharged after treatment and 1,156 were hospitalized. According to the prehospital triage classification, 726 of the 3,457 cases were urgent, 593 were semi-urgent, 1,944 were potentially urgent, and 194 were non-urgent. The results of the in-hospital triage were as follows: 114 KTAS 1 (3.3%), 491 KTAS 2 (14.2%), 1,345 KTAS 3 (38.9%), 1,227 KTAS 4 (35.5%), and 280 KTAS 5 (8.1%). The odds ratio trend for hospitalization showed a larger decrease according to in-hospital staging (95% CI, 0.32-0.39) than according to prehospital staging (95% CI, 0.50-0.60). The odds ratio trend for intensive care unit (ICU) admission also showed a larger decrease according to in-hospital staging (95% CI, 0.16-0.22) than according to prehospital staging (95% CI, 0.37-0.48). Conclusion: We found little correspondence in classifications made according to the KTAS and prehospital triage systems. However, the tendencies toward decreases in the hospitalization and ICU admission rates were similar.

• Journal of Chest Surgery
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• 제55권6호
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• pp.470-477
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• 2022

Background: Upfront surgery followed by systemic treatment is recommended to treat clinical stage I-IIA small cell lung cancer (SCLC), but data on the clinical outcomes are sparse. Thus, this study evaluated the stage migration and long-term prognosis of surgically treated clinical stage I-IIA SCLC. Methods: We retrospectively reviewed 49 patients with clinical stage I-IIA SCLC who underwent upfront surgery between 2000 and 2020. Additionally, we re-evaluated the TNM (tumor-node-metastasis) staging according to the eighth edition of the American Joint Committee on Cancer staging system for lung cancer. Results: The clinical stages of SCLC were cIA in 75.5%, cIB in 18.4%, and cIIA in 6.1% of patients. A preoperative histologic diagnosis was made in 65.3% of patients. Lobectomy and systematic lymph node dissection were performed in 77.6% and 83.7% of patients, respectively. The pathological stages were pI in 67.3%, pII in 24.5%, pIII in 4.1%, and pIV in 4.1% of patients. The concordance rate between clinical and pathological stages was 44.9%, and the upstaging rate was 49.0%. The 5-year overall survival (OS) rate was 67.8%. No significant difference in OS was found between stages pI and pII. However, the OS for stages pIII/IV was significantly worse than for stages pI/II (p<0.001). Conclusion: In clinical stage I-IIA SCLC, approximately half of the patients were pathologically upstaged, and OS was favorable after upfront surgery, particularly in pI/II patients. The poor prognosis of pIII/IV patients indicates the necessity of intensive preoperative pathologic mediastinal staging.

• Journal of Periodontal and Implant Science
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• 제53권1호
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• pp.38-53
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• 2023

Purpose: The current Classification of Periodontal and Peri-Implant Diseases and Conditions, published and disseminated in 2018, involves some difficulties and causes diagnostic conflicts due to its criteria, especially for inexperienced clinicians. The aim of this study was to design a decision system based on machine learning algorithms by using clinical measurements and radiographic images in order to determine and facilitate the staging and grading of periodontitis. Methods: In the first part of this study, machine learning models were created using the Python programming language based on clinical data from 144 individuals who presented to the Department of Periodontology, Faculty of Dentistry, Süleyman Demirel University. In the second part, panoramic radiographic images were processed and classification was carried out with deep learning algorithms. Results: Using clinical data, the accuracy of staging with the tree algorithm reached 97.2%, while the random forest and k-nearest neighbor algorithms reached 98.6% accuracy. The best staging accuracy for processing panoramic radiographic images was provided by a hybrid network model algorithm combining the proposed ResNet50 architecture and the support vector machine algorithm. For this, the images were preprocessed, and high success was obtained, with a classification accuracy of 88.2% for staging. However, in general, it was observed that the radiographic images provided a low level of success, in terms of accuracy, for modeling the grading of periodontitis. Conclusions: The machine learning-based decision system presented herein can facilitate periodontal diagnoses despite its current limitations. Further studies are planned to optimize the algorithm and improve the results.

• 한국수산과학회지
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• 제34권1호
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• pp.38-42
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• 2001

Metapenaeopsis dalei의 탈피과정 및 기작을 구명하기 위하여 1999년 3월부터 5월 사이에 통영 용초도 주변 해역에서 채집된 자 각장 $13{\pm}2mm$의 개체를 사용하였다. 강모의 발달과 탈피단계는 미지 부분을 절개, 현미경으로 관찰하여 그 미세구조를 바탕으로 판정하였다. M. dalei의 주 탈피단계는 5개 (Stage A, B, C, D와E)로 나눌 수 있었다. Stage B에서는 setal cone의 생성을 확인할 수 있었으며, Stage $D_1'$에서는 setal shafts을 관찰할 수 있었다. 탈피단계 (Stage E)는 매우 빠르게 진행되어, 1분을 초과하지 않았다.

• Asian Pacific Journal of Cancer Prevention
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• 제17권5호
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• pp.2361-2367
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• 2016

Since 1980, endoscopic ultrasound (EUS) has been used as an important tool for the evaluation of malignant diseases in hollow viscus and bilio-pancreas, as well as sub-epithelial tumors. The high-resolution capacity and low penetration depth of EUS make it possible to obtain highly detailed images of the gastrointestinal wall and immediate surroundings to a depth of 4-5 cm. Thus, over the past 35 years, EUS succeeded to modify management in significant number of cases and is now considered a gold standard tool for many gastrointestinal diseases, especially in the pancreatico-biliary tract, and adjuvant needle insertion now allows access to remote lesions that were difficult to reach in the past. With the growing spectrum of indications, tissue sampling for diagnostic purposes has become common. In this review, we aim to highlight the expanding spectrum of EUS indications and uses in staging of upper gastrointestinal malignancies, especially esophageal, gastric and ampullary tumors.